Mariama Ndoye: Modelling energy consumption patterns in residential buildings

Our approach is to position ourselves within the context of the energy transition. Indeed, environmental issues such as air pollution, global warming and the depletion of fossil fuels are at the heart of today’s major debates. The energy transition is therefore necessary in order to mitigate the effects of consumption, the real-world impacts of which are devastating on a global scale.

It is in this context that the building sector emerges as a major contributor to energy consumption and greenhouse gas emissions. This research therefore aims to model the energy consumption patterns of residential buildings following a renovation project. The study of residential buildings’ energy behaviour remains both poorly understood and underestimated in models. This difficulty stems from two obstacles: a lack of usable data on households’ actual consumption; and the complexity involved in conducting surveys on their domestic energy behaviour. The aim is to study, analyse and dynamically model the behaviour of residential buildings, taking into account the interactions between space, households and consumption. It will focus on the impact of the dynamics of household energy behaviour on the building’s final energy consumption.

A survey will be conducted before and after the renovation, involving 62 households living in Noisiel. It will collect socio-demographic data on the households, details of their characteristics and, above all, information on their behaviour. The data from these surveys, together with data from the sensors installed as part of the André project, will be analysed using various statistical models.